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Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44

Overview of attention for article published in Frontiers in immunology, January 2012
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Title
Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44
Published in
Frontiers in immunology, January 2012
DOI 10.3389/fimmu.2012.00023
Pubmed ID
Authors

Bas J. G. Baaten, Roberto Tinoco, Alex T. Chen, Linda M. Bradley

Abstract

Despite the widespread use of the cell-surface receptor CD44 as a marker for antigen (Ag)-experienced, effector and memory T cells, surprisingly little is known regarding its function on these cells. The best-established function of CD44 is the regulation of cell adhesion and migration. As such, the interactions of CD44, primarily with its major ligand, the extracellular matrix (ECM) component hyaluronic acid (HA), can be crucial for the recruitment and function of effector and memory T cells into/within inflamed tissues. However, little is known about the signaling events following engagement of CD44 on T cells and how cooperative interactions of CD44 with other surface receptors affect T cell responses. Recent evidence suggests that the CD44 signaling pathway(s) may be shared with those of other adhesion receptors, and that these provide contextual signals at different anatomical sites to ensure the correct T cell effector responses. Furthermore, CD44 ligation may augment T cell activation after Ag encounter and promote T cell survival, as well as contribute to regulation of the contraction phase of an immune response and the maintenance of tolerance. Once the memory phase is established, CD44 may have a role in ensuring the functional fitness of memory T cells. Thus, the summation of potential signals after CD44 ligation on T cells highlights that migration and adhesion to the ECM can critically impact the development and homeostasis of memory T cells, and may differentially affect subsets of T cells. These aspects of CD44 biology on T cells and how they might be modulated for translational purposes are discussed.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 <1%
India 1 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 219 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 29%
Student > Master 37 17%
Student > Bachelor 25 11%
Researcher 21 9%
Student > Doctoral Student 12 5%
Other 28 13%
Unknown 35 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 25%
Immunology and Microbiology 48 21%
Biochemistry, Genetics and Molecular Biology 41 18%
Medicine and Dentistry 18 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Other 15 7%
Unknown 41 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 June 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Frontiers in immunology
#20,297
of 31,516 outputs
Outputs of similar age
#172,459
of 250,101 outputs
Outputs of similar age from Frontiers in immunology
#130
of 275 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.